A novel algorithm for automatic constellation classification of PSK and QAM signals and a RBF-based identification

The authors present a novel algorithm to automatically classify M-ary QAM and M-ary PSK signals in the presence of additive white Gaussian noise (AWGN) into various constellation types and then identify them using radial basis function (RBF) neural networks. The signals are first passed through a tw...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Leyman, A.R., Kohli, R.S., Divakaran, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive white noise Amplitude modulation AWGN Constellation diagram Frequency shift keying Neurons Phase shift keying Quadrature amplitude modulation Signal processing Signal processing algorithms
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